Compare Claude 3.5 Sonnet and QVQ-Max. Find out which model is better for your specific use case and requirements.
| Feature | Claude 3.5 Sonnet | QVQ-Max |
|---|---|---|
| Provider | Anthropic | Alibaba Cloud |
| Model Type | text | vision |
| Context Window | 200,000 tokens | 131,072 tokens |
| Input Cost | $3.00/ 1M tokens | $1.15/ 1M tokens |
| Output Cost | $15.00/ 1M tokens | $4.59/ 1M tokens |
1. Intelligence & Reasoning
2. Speed & Efficiency
3. Coding Capabilities
4. Vision Strength
5. Agentic Workflows
6. Content Quality
7. Safety & Reliability
1. Strongest visual reasoning in Qwen lineup
2. Great for math + vision hybrids
3. High-quality instruction following
Discover AI prompts that work great with these models. Use them to build powerful AI tools on Appaca.
Generate named entities and natural insertion points to improve semantic depth and topical coverage.
Generate a polite, professional cold outreach email template to landowners to source off-market deals and prompt a reply.
Identify bugs in your code, understand why they happen, and get a corrected version.
Develop a co-marketing partnership strategy with brands serving the same persona, amplifying reach while reinforcing your USP and persona challenges.
Build a comprehensive digital marketing plan that targets a persona, addresses their challenges, and highlights your USP across channels and the funnel.
Optimize your website SEO by targeting persona problem keywords and showcasing your USP through high-intent content.
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Create, manage, and deploy custom AI models for text, image, and audio - trained on your own knowledge base.

Create a workflow for your AI agents and tools to perform tasks and integrations with third-party services.
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